AI Chest X-ray Model Analysis Reveals Race and Sex Bias
An AI chest X-ray model showed racial and gender biases, emphasizing the need for diverse data and thorough bias checks in medical AI, researchers say.
Category: Cloud Computing
Cloud Computing
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Cloud Computing
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Researchers Unveil AI Model to Eliminate Biased Results
Canadian researchers have developed a new explainable artificial intelligence model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Cloud Computing
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AI Can Predict Long-Term Breast Cancer Risk
Researchers from the Mayo Clinic and the University of California, San Francisco confirmed pairing AI imaging and volumetric breast density algorithms can help predict long-term breast cancer risk.
Cloud Solutions for Medical Imaging: Improving Operational Efficiency and Patient Care
Morris Panner discusses how cloud solutions have been increasingly used by radiologists for medical imaging, and the different cloud models available to them.
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Promising Future of DALL-E 2 AI Image Generation in Radiology Research
New research describes how generative models such as DALL-E 2, a novel deep learning model for text-to-image generation, could represent a promising future tool for image generation, augmentation, and manipulation in healthcare.
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AI Can Help Optimize CT Scan X-ray Radiation Dose
Researchers have developed an AI algorithm that can analyze CT images as accurately as healthcare professionals, paving the way for automating the process of optimizing radiation dose in CT protocols.
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AI Identifies Normal and Abnormal Chest X-rays
An AI tool can accurately identify normal and abnormal chest x-rays, potentially alleviating radiologists’ heavy workload with a 99.1% sensitivity rate.
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Ensuring Patient-Data Security with Cloud Healthcare Solutions
Cyberattacks aren’t going to stop anytime soon, and they’re only elevating in frequency and severity. Instead of waiting to improve your cloud security in healthcare systems, act early and proactive
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